Model Training Courses and Certifications

TensorFlow Course – Building and Evaluating Medical AI Models

Build and evaluate medical AI models using TensorFlow to analyze chest x-rays. Gain practical machine learning skills through a real-world project led by Dr. Jason Adleberg.

• freeCodeCamp
• 1-2 hours
• On-Demand
• Free Video

GOTO Conferences

Scaling Machine Learning with Spark

Learn to build scalable machine learning solutions with Apache Spark. Explore distributed computing, MLflow, feature engineering, and integrating Spark with deep learning frameworks like TensorFlow and PyTorch.

• YouTube
• 39 minutes
• On-Demand
• Conference Talk

GOTO Conferences

Machine Learning Made Easy With PyCaret

Discover how PyCaret simplifies machine learning workflows, automates processes, and boosts productivity. Learn to integrate this low-code library for faster, more efficient ML experiments.

• YouTube
• 44 minutes
• On-Demand
• Conference Talk

Eran Feit

Creating an Animal Segmentation Model with U-Net and TensorFlow Keras

Learn to implement and train a U-Net model for animal segmentation using TensorFlow/Keras. Covers data preprocessing, model architecture, training, and evaluation with practical code examples.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Data Science Dojo

Azure Custom Vision for Beginners - Building Custom Vision Models with Microsoft Azure

Learn to build, train, and deploy custom image recognition models using Azure Custom Vision. Explore cloud-based machine learning for computer vision applications and consume models via Azure APIs.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Data Science Dojo

Intro to Machine Learning with R & Caret

Learn to leverage R's caret package for efficient machine learning tasks, including data sampling, model training, cross-validation, and hyperparameter tuning. Enhance your data science skills with practical examples.

• YouTube
• 1 hour 39 minutes
• On-Demand
• Free Video

Murtaza's Workshop - Robotics and AI

Anti Spoofing - Liveliness Detector for Face Recognition System - Fake VS Real - Computer Vision

Learn to build a free anti-spoofing system for face recognition, covering data collection, preprocessing, model training, and implementation using computer vision techniques.

• YouTube
• 2 hours 27 minutes
• On-Demand
• Free Video

Krish Naik

Step-by-Step Machine Learning Project Implementation: EDA, Feature Engineering, Selection, and Model Training

Comprehensive guide to implementing a machine learning project, covering data cleaning, EDA, feature engineering, selection, model training, and hyperparameter tuning.

• YouTube
• 1 hour 26 minutes
• On-Demand
• Free Video

Hot Dog or Not Hot Dog – Convolutional Neural Network Course for Beginners

Learn to build and implement Convolutional Neural Networks for image classification. Covers supervised learning, model training, neural networks, and includes hands-on coding examples using real-world datasets.

• freeCodeCamp
• 1-2 hours
• On-Demand
• Free Video

Krish Naik

End to End NLP Project Implementation With Deployment Github Action - Text Summarization - Krish Naik

Comprehensive guide to implementing an end-to-end NLP text summarization project, covering data processing, model training, evaluation, and deployment using GitHub Actions on AWS.

• YouTube
• 3 hours 38 minutes
• On-Demand
• Free Video

Nicholas Renotte

Reinforcement Learning for Gaming - Full Python Course

Comprehensive guide to applying reinforcement learning in gaming using Python and Stable Baselines 3, covering Mario, Doom, Street Fighter, and Chrome Dino with practical missions and best practices.

• YouTube
• 8 hours 58 minutes
• On-Demand
• Free Video

Kavli Institute for Theoretical Physics

Deep Learning and Energy Models for Fine Dead Wood Segmentation - Jacquelyn Shelton

Explore deep learning and energy models for fine dead wood segmentation in climate research, focusing on carbon cycle implications and advanced image analysis techniques.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Weights & Biases

How EleutherAI Trains and Releases LLMs - Interview with Stella Biderman

Explore EleutherAI's approach to LLM development, covering model selection, training techniques, GPU choices, and interpretability challenges in this insightful interview with Stella Biderman.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Accelerate Model Training with a High-Performance Distributed AI/ML Stack for the Cloud

Learn to accelerate AI/ML model training using Ray and Open Data Hub for efficient resource management and distributed computing in cloud environments, enhancing scalability and performance.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Understanding the Legal Context of AI

Explore the legal landscape of AI, focusing on copyright issues, model training, and intellectual property concerns in machine learning-based services.

• YouTube
• 47 minutes
• On-Demand
• Free Video